Impact of sex differences on the trajectory of interactome dysfunctions across the AD spectrum
性别差异对 AD 谱系中相互作用组功能障碍轨迹的影响
基本信息
- 批准号:10633261
- 负责人:
- 金额:$ 118.91万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-15 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAffectAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease brainAutopsyBioinformaticsBiologicalBiologyBrainBrain regionCellsCerebellumChemicalsClinicalCognitiveCommunitiesComplexComplex AnalysisComputational algorithmComputer AnalysisDataData AnalyticsData SetDefectDementiaDepositionDevelopmentDiseaseEnvironmentEquipment and supply inventoriesFreezingFunctional disorderGenerationsGenesGeneticGenotypeGlobal ChangeHeterogeneityHippocampusHormonalHumanImageImpaired cognitionIndividualKnowledgeKnowledge PortalLinkMapsMeasuresMetadataMiningMolecularNatureNerve DegenerationNeurogliaNeuronsOnline SystemsOutcomeOutputPathologicPathway interactionsPatientsPhenotypePhenotypic SexPositioning AttributePreventionProcessProteinsProteomeRecording of previous eventsResourcesRisk FactorsSamplingSeveritiesSex DifferencesSiteSortingSpecimenSystemTechnologyTemporal LobeTestingTimeTranscriptTranslatingbiological systemsbrain cellbrain tissuecell typecomorbiditycomplex datacomputerized data processingconnectomedata visualizationdesigndisease heterogeneitydisease phenotypefrontal lobefunctional outcomesgenome wide association studyhealthy aginginnovationinsightinterestinventionlarge scale datalaser capture microdissectionmembermild cognitive impairmentmultidisciplinarynetwork dysfunctionneuropathologynovel strategiesopen sourceprecision medicineprotein protein interactionresponsesexspatiotemporalstoichiometrystressortherapy developmentuser-friendlyweb platform
项目摘要
ABSTRACT
The impact of sex differences in Alzheimer's disease (AD) remains poorly understood, especially in the context
of protein-protein interactions within vulnerable regions that drive dysfunction. Despite growing appreciation of
the clinical course, presentation, and severity of AD, studies of sex impacting AD development and progression
are lacking. Although recent high-throughput and bioinformatics technologies help to understand molecular and
genetic basis of sex differences in aging and AD, reliance on static `omics data representing a descriptive
inventory of biomolecules measuring changes in their stoichiometry at a given time and condition limits functional
insights. Another roadblock is translating these complex datasets into biological insights requires sophisticated
computational algorithms, diminishing access and impact to the biomedical community at large.
To address these limitations this proposal introduces epichaperomics, an unbiased state-of-the-art `omics
approach we invented to generate direct access to interactome perturbations and to the functional outcome of
such changes in native biological systems. We posit by applying epichaperomics to well-characterized
postmortem human brains that i) capture the disease trajectory, ii) encompass AD vulnerable and less affected
regions, and iii) have robust parallel information on patient-specific correlates, will enable rigorous hypothesis-
generating analyses on potential impact of stressors and vulnerabilities on disease trajectory, and on interactome
as well as connectome dysfunctions as they occur in sex-dependent manner. Through this novel approach we
expect to derive mechanistic innovation on specific dysfunctions impacted by sex differences leading to insights
into sex-phenotype relationships not available through other `omics platforms. By evaluating, understanding, and
anticipating interactome changes through epichaperome formation in relation to sex impact (Aim 1) and
subsequent straightforward computational analysis with web-based output (Aim 2), first-of-a-kind proteome-wide
insights into the impact of sex differences on interactome networks vulnerabilities and dysfunctions within the
hippocampus and regions of the default mode network in relation to the relatively spared cerebellum, both on
their nature and trajectory, in vulnerable cells and brain regions will be generated. Information how stressors and
vulnerabilities (e.g., genes, environment, hormonal status) interact at cell and brain connectome levels to
produce heterogeneous phenotype mapping of disease vulnerability will be produced. We posit a whole new
treatment paradigm avenue will open, providing a previously unavailable sex-specific precision medicine
approach to AD by understanding and targeting the interactome across the AD spectrum of no cognitive
impairment, mild cognitive impairment, and AD dementia through stressor and vulnerability analysis. Raw
datasets and data analytics from interactome network studies will be deposited into free-access portals
accessible by the scientific community for additional mining and hypothesis testing studies. A web-based user-
interface will also be designed facilitating data processing and visualization.
摘要
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Experimental traumatic brain injury increases epichaperome formation.
- DOI:10.1016/j.nbd.2023.106331
- 发表时间:2023-11
- 期刊:
- 影响因子:6.1
- 作者:Svirsky, Sarah E.;Li, Youming;Henchir, Jeremy;Rodina, Anna;Carlson, Shaun W.;Chiosis, Gabriela;Dixon, C. Edward
- 通讯作者:Dixon, C. Edward
Chemical tools for epichaperome-mediated interactome dysfunctions of the central nervous system.
- DOI:10.1038/s41467-021-24821-2
- 发表时间:2021-08-03
- 期刊:
- 影响因子:16.6
- 作者:Bolaender A;Zatorska D;He H;Joshi S;Sharma S;Digwal CS;Patel HJ;Sun W;Imber BS;Ochiana SO;Patel MR;Shrestha L;Shah SK;Wang S;Karimov R;Tao H;Patel PD;Martin AR;Yan P;Panchal P;Almodovar J;Corben A;Rimner A;Ginsberg SD;Lyashchenko S;Burnazi E;Ku A;Kalidindi T;Lee SG;Grkovski M;Beattie BJ;Zanzonico P;Lewis JS;Larson S;Rodina A;Pillarsetty N;Tabar V;Dunphy MP;Taldone T;Shimizu F;Chiosis G
- 通讯作者:Chiosis G
Proteomic profiling of interferon-responsive reactive astrocytes in rodent and human.
啮齿动物和人类干扰素反应性星形胶质细胞的蛋白质组学分析。
- DOI:10.1002/glia.24494
- 发表时间:2024
- 期刊:
- 影响因子:6.2
- 作者:Prakash,Priya;Erdjument-Bromage,Hediye;O'Dea,MichaelR;Munson,ChristyN;Labib,David;Fossati,Valentina;Neubert,ThomasA;Liddelow,ShaneA
- 通讯作者:Liddelow,ShaneA
Unraveling the Mechanism of Epichaperome Modulation by Zelavespib: Biochemical Insights on Target Occupancy and Extended Residence Time at the Site of Action.
Zelavespib揭示了伴侣调制的机制:对目标占用和延长停留时间的生化见解。
- DOI:10.3390/biomedicines11102599
- 发表时间:2023-09-22
- 期刊:
- 影响因子:4.7
- 作者:
- 通讯作者:
Pharmacologically controlling protein-protein interactions through epichaperomes for therapeutic vulnerability in cancer.
- DOI:10.1038/s42003-021-02842-3
- 发表时间:2021-11-25
- 期刊:
- 影响因子:5.9
- 作者:Joshi S;Gomes ED;Wang T;Corben A;Taldone T;Gandu S;Xu C;Sharma S;Buddaseth S;Yan P;Chan LYL;Gokce A;Rajasekhar VK;Shrestha L;Panchal P;Almodovar J;Digwal CS;Rodina A;Merugu S;Pillarsetty N;Miclea V;Peter RI;Wang W;Ginsberg SD;Tang L;Mattar M;de Stanchina E;Yu KH;Lowery M;Grbovic-Huezo O;O'Reilly EM;Janjigian Y;Healey JH;Jarnagin WR;Allen PJ;Sander C;Erdjument-Bromage H;Neubert TA;Leach SD;Chiosis G
- 通讯作者:Chiosis G
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{{ truncateString('GABRIELA CHIOSIS', 18)}}的其他基金
Selective interactome vulnerability across the Alzheimer’s disease spectrum
阿尔茨海默病谱系中的选择性相互作用组脆弱性
- 批准号:
10746269 - 财政年份:2023
- 资助金额:
$ 118.91万 - 项目类别:
[18F]-PU-AD epichaperome PET imaging probe
[18F]-PU-AD外表面组PET成像探针
- 批准号:
10445594 - 财政年份:2022
- 资助金额:
$ 118.91万 - 项目类别:
Impact of sex differences on the trajectory of interactome dysfunctions across the AD spectrum
性别差异对 AD 谱系中相互作用组功能障碍轨迹的影响
- 批准号:
10491240 - 财政年份:2021
- 资助金额:
$ 118.91万 - 项目类别:
Selective interactome vulnerability across the Alzheimer’s disease spectrum
阿尔茨海默病谱系中的选择性相互作用组脆弱性
- 批准号:
10386016 - 财政年份:2021
- 资助金额:
$ 118.91万 - 项目类别:
Impact of sex differences on the trajectory of interactome dysfunctions across the AD spectrum
性别差异对 AD 谱系中相互作用组功能障碍轨迹的影响
- 批准号:
10300853 - 财政年份:2021
- 资助金额:
$ 118.91万 - 项目类别:
Translating Stress Response Targeted Therapy for B-Cell Lymphomas
将应激反应靶向治疗转化为 B 细胞淋巴瘤
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8997374 - 财政年份:2016
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Project 2: Development of grp94-selective Inhibitors for Cancer
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Biomarkers for predicting response to Hsp90 therapy
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9054085 - 财政年份:2013
- 资助金额:
$ 118.91万 - 项目类别:
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